PurposeThe resistance of N. gonorrhoeae to antimicrobial agents has been increasing year by year due to the overuse of antibiotics. The primary aims of the present study were to investigate the molecular characteristics of the clinical isolates of Neisseria gonorrhoeae and the resistance to azithromycin in a Chinese tertiary hospital.MethodsFrom January 2014 to May 2017, a total of 55 clinical isolates of N. gonorrhoeae were collected. Genes associated with azithromycin resistance (AZM-R), including mutations in 23S rRNA alleles, the mtrR promoter and coding regions, and rplD and rplV were evaluated by PCR and DNA sequencing. All clinical isolates were subjected to N. gonorrhoeae multiantigen sequence typing (NG-MAST), while the AZM-R isolates were further characterized by multilocus sequence typing (MLST).ResultsThe AZM-R rate in this study was 23.64% (13/55), and a single (A)-nucleotide deletion mutation in the mtrR promoter region, a G45D mutation in the mtrR coding region, a point mutation in rplD, and an A2047G mutation in 23S rRNA alleles were detected in 13, 4, 3 and 4 isolates, respectively; no mutations were found in rplV. There was no significant difference in the mtrR coding region mutation rate between the azithromycin-sensitive and AZM-R groups (P > 0.05); however, there was a significant difference in the mutation rate of the mtrR promoter region (P < 0.05). Among the 55 isolates studied, 43 distinct NG-MAST were determined, while the AZM-R isolates were allocated into 10 distinct MLST/NG-MAST combinations. All three isolates with high-level AZM-R belonged to the sequence types (STs) NG-MAST ST1866 and MLST ST10899.ConclusionN. gonorrhoeae clinical isolates from Wenzhou, eastern China, showed considerable genetic diversity. Measures should be implemented to monitor the spread of the NG-MAST ST1866 and MLST ST10899 N. gonorrhoeae clones, which exhibit high-level AZM-R in eastern China.

The Chinese guidelines for IAI presented here were developed by a panel that included experts from the fields of surgery, critical care, microbiology, infection control, pharmacology, and evidence-based medicine. All questions were structured in population, intervention, comparison, and outcomes format, and evidence profiles were generated. Recommendations were generated following the principles of the Grading of Recommendations Assessment, Development, and Evaluation system or Best Practice Statement (BPS), when applicable. The final guidelines include 45 graded recommendations and 17 BPSs, including the classification of disease severity, diagnosis, source control, antimicrobial therapy, microbiologic evaluation, nutritional therapy, other supportive therapies, diagnosis and management of specific IAIs, and recognition and management of source control failure. Recommendations on fluid resuscitation and organ support therapy could not be formulated and thus were not included. Accordingly, additional high-quality clinical studies should be performed in the future to address the clinicians’ concerns.

predicted by mapping method showed better consistency with the observed TTO values than the other three methods, i.e. anchoring using the coefficient of "death" variable in DCE, the observed TTO value for worst state, or using model-estimated TTO value for worst state, by producing lower MAD (0.

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